These files can be used to reproduce the results presented in the paper and supplementary materials.

analysis.R is an R script that generates Figure 1 and the information found in Table 1. It also generates the coefficient estimates for the models described in the SM. 

figure_1_data.csv is a data frame containing the information presented in Figure 1. 

TESS_applicants.csv is a data frame containing the responses we received from TESS applicants. The unit of analysis is researcher-project. So some researchers appear multiple times in the dataset. Each researcher has a unique identifier in the “id” variable. 


Variables in "TESS_applicants.csv"

sig_find_strict: Binary. 1 indicates respondent found significant results on that project; 0 otherwise.

scenario: Categorical. Denotes one of six paths researcher took after TESS decision.
age: Age in years.

female_or_nb: Binary. 1 indicates respondent identifies as female or nonbinary, 0 as male.

race: Categorical. 

parents_edu: Categorical. Parents' education, at least one of them. 1 is less than a college 
degree, 2 is a college degree, 3 is a post-graduate degree.

children_have: Binary. 1 indicates respondent has children in the household, 0 otherwise.

risk_prone: Interval. 5-point scale indicating how risk prone respondent is.

money_research_budget: Interval: 7-point scale indicating funds researcher has for research.

int_grant_opp: Interval. 5-point indicating how much opportunity researcher has for acquiring research funds internally.

research_time: Interval. Percent of time researcher dedicated to research in the last year.

students_advised: Interval. Count of students researcher advised in the last year.

dept_confers_phd: Binary. 1 indicates the researcher's department award PhDs.

coauthor_have: Binary. 1 indicates the project had a coauthor.

tenure: Binary. 1 indicates the researcher is a tenured professor.

pubs_articles: Interval. Count of articles researcher had published by time of TESS application.

pubs_books: Interval. Count of books researcher had published by time of TESS application.

id: Unique indicator for each researcher.  
